Getting TypeError: 'NoneType' object is not iterable

Rasa Open Source
1

I’ve used the code shown Using FuzzyWuzzy with lookup tables to replicate a custom component for fuzzy string matching. The code is

class FuzzyExtractor(Component):

name = "FuzzyExtractor"

provides = ["entities"]

requires = ["tokens"]

defaults = {}

language_list = ["en"]

threshold = 90

def __init__(self, component_config=None, *args):

    super(FuzzyExtractor, self).__init__(component_config)

def train(self, training_data, cfg, **kwargs):

    pass

def process(self, message, **kwargs):

    entities = list(message.get('entities'))

    # Get file path of lookup table in json format

    cur_path = os.path.dirname(__file__)

    if os.name == 'nt':

        partial_lookup_file_path = '..\\data\\nlu\\Course.json'

    else:

        partial_lookup_file_path = '../data/nlu/Course.json'

    lookup_file_path = os.path.join(cur_path, partial_lookup_file_path)

    with open(lookup_file_path, 'r') as file:

        lookup_data = json.load(file)['data']

        tokens = message.get('tokens')

        for token in tokens:

            # STOP_WORDS is just a dictionary of stop words from NLTK

            if token.text not in STOP_WORDS:

                fuzzy_results = process.extract(

                                         token.text, 

                                         lookup_data, 

                                         processor=lambda a: a['value'] 

                                             if isinstance(a, dict) else a, 

                                         limit=10)

                for result, confidence in fuzzy_results:

                    if confidence >= self.threshold:

                        entities.append({

                            "start": token.offset,

                            "end": token.end,

                            "value": token.text,

                            "fuzzy_value": result["value"],

                            "confidence": confidence,

                            "entity": result["entity"]

                        })

    file.close()

    message.set("entities", entities, add_to_output=True)

This particular line of code seems to be giving me the error: “entities = list(message.get(‘entities’))”

Is there any way to fix it?

2

@natsucr7 it would help me a lot if you could share the full traceback. Sometimes the reported line is not the place where the error occurs.

Also, could you fix the indentation/whitespace in your code example? There’s a lot of new lines that, I’m assuming, aren’t in the original code.